A Literature Study Concerning Generalization Error Bounds for Neural Networks via Rademacher Complexity
In this essay some fundamental results from the theory of machine learning and neural networks are presented, with the goal of finally discussing bounds on the generalization error of neural networks, via Rademacher complexity. === I denna uppsats presenteras några grundläggande resultat från teori...
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Format: | Others |
Language: | English |
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Umeå universitet, Institutionen för matematik och matematisk statistik
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184487 |